{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "import sys, csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def save2csv(data, dir_path, name):\n",
    "    if (os.path.isdir(dir_path)==False):\n",
    "        try:\n",
    "            os.makedirs(dir_path)\n",
    "        except OSError:\n",
    "            print (\"Creation of the directory %s failed\" % dir_path)\n",
    "        else:\n",
    "            print (\"Successfully created the directory %s\" % dir_path)\n",
    "    \n",
    "    path = dir_path+'/'+name+'.csv'\n",
    "    print(path)\n",
    "    data.to_csv(path, index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "healthy_sample_rate = 512\n",
    "illness_sample_rate = 250\n",
    "healthy_path = './healthy'\n",
    "illness_path = './illness'\n",
    "save_path = './time_domain/'\n",
    "shift = 200 #前200秒不穩定"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Successfully created the directory ./time_domain/heatlhty/healthy pt 1/\n",
      "./time_domain/heatlhty/healthy pt 1//0-4.csv\n",
      "./time_domain/heatlhty/healthy pt 1//4-8.csv\n",
      "./time_domain/heatlhty/healthy pt 1//8-12.csv\n",
      "./time_domain/heatlhty/healthy pt 1//12-16.csv\n",
      "./time_domain/heatlhty/healthy pt 1//16-20.csv\n",
      "./time_domain/heatlhty/healthy pt 1//20-24.csv\n",
      "./time_domain/heatlhty/healthy pt 1//24-28.csv\n",
      "./time_domain/heatlhty/healthy pt 1//28-32.csv\n",
      "./time_domain/heatlhty/healthy pt 1//32-36.csv\n",
      "./time_domain/heatlhty/healthy pt 1//36-40.csv\n",
      "./time_domain/heatlhty/healthy pt 1//40-44.csv\n",
      "./time_domain/heatlhty/healthy pt 1//44-48.csv\n",
      "./time_domain/heatlhty/healthy pt 1//48-52.csv\n",
      "./time_domain/heatlhty/healthy pt 1//52-56.csv\n",
      "./time_domain/heatlhty/healthy pt 1//56-60.csv\n",
      "./time_domain/heatlhty/healthy pt 1//60-64.csv\n",
      "./time_domain/heatlhty/healthy pt 1//64-68.csv\n",
      "./time_domain/heatlhty/healthy pt 1//68-72.csv\n",
      "./time_domain/heatlhty/healthy pt 1//72-76.csv\n",
      "./time_domain/heatlhty/healthy pt 1//76-80.csv\n",
      "./time_domain/heatlhty/healthy pt 1//80-84.csv\n",
      "./time_domain/heatlhty/healthy pt 1//84-88.csv\n",
      "./time_domain/heatlhty/healthy pt 1//88-92.csv\n",
      "./time_domain/heatlhty/healthy pt 1//92-96.csv\n",
      "./time_domain/heatlhty/healthy pt 1//96-100.csv\n",
      "./time_domain/heatlhty/healthy pt 1//100-104.csv\n",
      "./time_domain/heatlhty/healthy pt 1//104-108.csv\n",
      "./time_domain/heatlhty/healthy pt 1//108-112.csv\n",
      "./time_domain/heatlhty/healthy pt 1//112-116.csv\n",
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      "./time_domain/heatlhty/healthy pt 1//124-128.csv\n",
      "./time_domain/heatlhty/healthy pt 1//128-132.csv\n",
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      "./time_domain/heatlhty/healthy pt 1//136-140.csv\n",
      "./time_domain/heatlhty/healthy pt 1//140-144.csv\n",
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      "./time_domain/heatlhty/healthy pt 1//152-156.csv\n",
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      "./time_domain/heatlhty/healthy pt 1//164-168.csv\n",
      "./time_domain/heatlhty/healthy pt 1//168-172.csv\n",
      "./time_domain/heatlhty/healthy pt 1//172-176.csv\n",
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      "./time_domain/heatlhty/healthy pt 1//456-460.csv\n",
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      "./time_domain/heatlhty/healthy pt 1//664-668.csv\n",
      "./time_domain/heatlhty/healthy pt 1//668-672.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./time_domain/heatlhty/healthy pt 1//672-676.csv\n",
      "./time_domain/heatlhty/healthy pt 1//676-680.csv\n",
      "./time_domain/heatlhty/healthy pt 1//680-684.csv\n",
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      "./time_domain/heatlhty/healthy pt 1//964-968.csv\n",
      "./time_domain/heatlhty/healthy pt 1//968-972.csv\n",
      "Successfully created the directory ./time_domain/heatlhty/healthy pt 2/\n",
      "./time_domain/heatlhty/healthy pt 2//0-4.csv\n",
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      "./time_domain/heatlhty/healthy pt 5//824-828.csv\n",
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      "./time_domain/heatlhty/healthy pt 5//832-836.csv\n",
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      "./time_domain/heatlhty/healthy pt 5//868-872.csv\n",
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      "./time_domain/heatlhty/healthy pt 5//876-880.csv\n",
      "./time_domain/heatlhty/healthy pt 5//880-884.csv\n",
      "./time_domain/heatlhty/healthy pt 5//884-888.csv\n",
      "./time_domain/heatlhty/healthy pt 5//888-892.csv\n",
      "./time_domain/heatlhty/healthy pt 5//892-896.csv\n",
      "./time_domain/heatlhty/healthy pt 5//896-900.csv\n",
      "./time_domain/heatlhty/healthy pt 5//900-904.csv\n",
      "./time_domain/heatlhty/healthy pt 5//904-908.csv\n",
      "./time_domain/heatlhty/healthy pt 5//908-912.csv\n",
      "./time_domain/heatlhty/healthy pt 5//912-916.csv\n",
      "./time_domain/heatlhty/healthy pt 5//916-920.csv\n",
      "./time_domain/heatlhty/healthy pt 5//920-924.csv\n",
      "./time_domain/heatlhty/healthy pt 5//924-928.csv\n",
      "./time_domain/heatlhty/healthy pt 5//928-932.csv\n",
      "./time_domain/heatlhty/healthy pt 5//932-936.csv\n",
      "./time_domain/heatlhty/healthy pt 5//936-940.csv\n",
      "./time_domain/heatlhty/healthy pt 5//940-944.csv\n",
      "./time_domain/heatlhty/healthy pt 5//944-948.csv\n",
      "./time_domain/heatlhty/healthy pt 5//948-952.csv\n",
      "./time_domain/heatlhty/healthy pt 5//952-956.csv\n",
      "./time_domain/heatlhty/healthy pt 5//956-960.csv\n",
      "./time_domain/heatlhty/healthy pt 5//960-964.csv\n",
      "./time_domain/heatlhty/healthy pt 5//964-968.csv\n",
      "./time_domain/heatlhty/healthy pt 5//968-972.csv\n"
     ]
    }
   ],
   "source": [
    "for dirPath, _, fileNames in os.walk(healthy_path):\n",
    "    for f in fileNames:\n",
    "        ds = pd.read_csv(os.path.join(dirPath, f))\n",
    "        ds = ds[shift*healthy_sample_rate:] #remove 前200秒data\n",
    "        length = len(ds)\n",
    "        for i in range(0, length, healthy_sample_rate*4):\n",
    "            start = i\n",
    "            end = i+healthy_sample_rate*4\n",
    "            if end > length:\n",
    "                break\n",
    "            mydata = ds[start:end]\n",
    "            save2csv(mydata, save_path+'heatlhty/'+f.replace('.csv','')+'/', str(int(i/healthy_sample_rate))+'-'+str(int(end/healthy_sample_rate)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "./time_domain/illness/43730650_2/692-696.csv\n",
      "./time_domain/illness/43730650_2/696-700.csv\n",
      "./time_domain/illness/43730650_2/700-704.csv\n",
      "./time_domain/illness/43730650_2/704-708.csv\n",
      "./time_domain/illness/43730650_2/708-712.csv\n",
      "./time_domain/illness/43730650_2/712-716.csv\n",
      "./time_domain/illness/43730650_2/716-720.csv\n",
      "./time_domain/illness/43730650_2/720-724.csv\n",
      "./time_domain/illness/43730650_2/724-728.csv\n",
      "./time_domain/illness/43730650_2/728-732.csv\n",
      "./time_domain/illness/43730650_2/732-736.csv\n",
      "./time_domain/illness/43730650_2/736-740.csv\n",
      "./time_domain/illness/43730650_2/740-744.csv\n",
      "./time_domain/illness/43730650_2/744-748.csv\n",
      "./time_domain/illness/43730650_2/748-752.csv\n",
      "./time_domain/illness/43730650_2/752-756.csv\n",
      "./time_domain/illness/43730650_2/756-760.csv\n",
      "./time_domain/illness/43730650_2/760-764.csv\n",
      "./time_domain/illness/43730650_2/764-768.csv\n",
      "./time_domain/illness/43730650_2/768-772.csv\n",
      "./time_domain/illness/43730650_2/772-776.csv\n",
      "./time_domain/illness/43730650_2/776-780.csv\n",
      "./time_domain/illness/43730650_2/780-784.csv\n",
      "./time_domain/illness/43730650_2/784-788.csv\n",
      "./time_domain/illness/43730650_2/788-792.csv\n",
      "./time_domain/illness/43730650_2/792-796.csv\n",
      "./time_domain/illness/43730650_2/796-800.csv\n",
      "./time_domain/illness/43730650_2/800-804.csv\n",
      "./time_domain/illness/43730650_2/804-808.csv\n",
      "./time_domain/illness/43730650_2/808-812.csv\n",
      "./time_domain/illness/43730650_2/812-816.csv\n",
      "./time_domain/illness/43730650_2/816-820.csv\n",
      "./time_domain/illness/43730650_2/820-824.csv\n",
      "./time_domain/illness/43730650_2/824-828.csv\n",
      "./time_domain/illness/43730650_2/828-832.csv\n",
      "./time_domain/illness/43730650_2/832-836.csv\n",
      "./time_domain/illness/43730650_2/836-840.csv\n",
      "./time_domain/illness/43730650_2/840-844.csv\n",
      "./time_domain/illness/43730650_2/844-848.csv\n",
      "./time_domain/illness/43730650_2/848-852.csv\n",
      "./time_domain/illness/43730650_2/852-856.csv\n",
      "./time_domain/illness/43730650_2/856-860.csv\n",
      "./time_domain/illness/43730650_2/860-864.csv\n",
      "./time_domain/illness/43730650_2/864-868.csv\n",
      "./time_domain/illness/43730650_2/868-872.csv\n",
      "./time_domain/illness/43730650_2/872-876.csv\n",
      "./time_domain/illness/43730650_2/876-880.csv\n",
      "./time_domain/illness/43730650_2/880-884.csv\n",
      "./time_domain/illness/43730650_2/884-888.csv\n",
      "./time_domain/illness/43730650_2/888-892.csv\n",
      "./time_domain/illness/43730650_2/892-896.csv\n",
      "./time_domain/illness/43730650_2/896-900.csv\n",
      "./time_domain/illness/43730650_2/900-904.csv\n",
      "./time_domain/illness/43730650_2/904-908.csv\n",
      "./time_domain/illness/43730650_2/908-912.csv\n",
      "./time_domain/illness/43730650_2/912-916.csv\n",
      "./time_domain/illness/43730650_2/916-920.csv\n",
      "./time_domain/illness/43730650_2/920-924.csv\n",
      "./time_domain/illness/43730650_2/924-928.csv\n",
      "./time_domain/illness/43730650_2/928-932.csv\n",
      "./time_domain/illness/43730650_2/932-936.csv\n",
      "./time_domain/illness/43730650_2/936-940.csv\n",
      "./time_domain/illness/43730650_2/940-944.csv\n",
      "./time_domain/illness/43730650_2/944-948.csv\n"
     ]
    }
   ],
   "source": [
    "for dirPath, _, fileNames in os.walk(illness_path):\n",
    "    for f in fileNames:\n",
    "        ds = pd.read_csv(os.path.join(dirPath, f))\n",
    "        ds = ds[shift*illness_sample_rate:] #remove 前200秒data\n",
    "        length = len(ds)\n",
    "        for i in range(0, length, illness_sample_rate*4):\n",
    "            start = i\n",
    "            end = i+illness_sample_rate*4\n",
    "            if end > length:\n",
    "                break\n",
    "            mydata = ds[start:end]\n",
    "            save2csv(mydata, save_path+'illness/'+f.replace('.csv',''), str(int(i/illness_sample_rate))+'-'+str(int(end/illness_sample_rate)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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